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Optimization

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Papers

Loss Shaping Constraints for Long-Term Time Series Forecasting ICML 2024 Lower Bounds and Optimal Algorithms for Non-Smooth Convex Decentralized Optimization over Time-Varying Networks NeurIPS 2024 Lower Bounds of Uniform Stability in Gradient-Based Bilevel Algorithms for Hyperparameter Optimization NeurIPS 2024 Lower Complexity Bounds of Finite-Sum Optimization Problems: The Results and Construction JMLR 2024 Lower-level Duality Based Reformulation and Majorization Minimization Algorithm for Hyperparameter Optimization AISTATS 2024 Low-Latency Neural Stereo Streaming CVPR 2024 Low Precision Local Training is Enough for Federated Learning NeurIPS 2024 Low-Rank Adaptation for Multilingual Summarization: An Empirical Study NAACL 2024 Low-Rank Approximation for Sparse Attention in Multi-Modal LLMs CVPR 2024 Low-Rank Approximation of Structural Redundancy for Self-Supervised Learning CLeaR 2024 Low-Rank Bandits via Tight Two-to-Infinity Singular Subspace Recovery ICML 2024 LowRankOcc: Tensor Decomposition and Low-Rank Recovery for Vision-based 3D Semantic Occupancy Prediction CVPR 2024 Low-Rank Prune-And-Factorize for Language Model Compression COLING 2024 Low-Rank Rescaled Vision Transformer Fine-Tuning: A Residual Design Approach CVPR 2024 LP-3DGS: Learning to Prune 3D Gaussian Splatting NeurIPS 2024 LP++: A Surprisingly Strong Linear Probe for Few-Shot CLIP CVPR 2024 LPZero: Language Model Zero-cost Proxy Search from Zero EMNLP 2024 LRANet: Towards Accurate and Efficient Scene Text Detection with Low-Rank Approximation Network AAAI 2024 LRQuant: Learnable and Robust Post-Training Quantization for Large Language Models ACL 2024 LRS: Enhancing Adversarial Transferability through Lipschitz Regularized Surrogate AAAI 2024 LSH-MoE: Communication-efficient MoE Training via Locality-Sensitive Hashing NeurIPS 2024 Lyapunov-Stable Deep Equilibrium Models AAAI 2024 M2ASR: Multilingual Multi-task Automatic Speech Recognition via Multi-objective Optimization Interspeech 2024 M3C: A Framework towards Convergent, Flexible, and Unsupervised Learning of Mixture Graph Matching and Clustering ICLR 2024 M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy AAAI 2024